~$ ls -la posts/ | grep llm

Building an AI-Powered Salary Search Engine with Local LLMs and Vector Search

What if you could search for salaries not by exact keywords, but by describing a job in natural language? “Senior developer in Brussels with a company car” or “nurse working in Antwerp” — and get relevant results based on semantic similarity rather than string matching. This is exactly what I built with BeSalary: an AI-powered salary search engine that extracts structured data from Reddit posts using local LLMs and enables semantic search through vector embeddings. You can try it live at besalary-wine.vercel.app. [read more]